We present a system to recognize phrases based on perceptrons, and a global online learning algorithm to train them together. The recognition strategy applies learning in two laye...
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
The Semantic Web is a rapidly growing research area aiming at the exchange of semantic information over the World Wide Web. The Semantic Web is built on top of RDF, an XML-based ex...
This paper describes a language and framework that allow coordinated transformations driven by invariants to be specified declaratively, as invariant rules, and applied automatic...
Yanhong A. Liu, Michael Gorbovitski, Scott D. Stol...
Customizable meta-objects are a powerful abstraction for extending language features and implementation mechanisms, but interpretive execution suffers from severe performance penal...